| Course Level: | Master's | |
|---|---|---|
| Course Duration: | 2 Years | |
| Course Language | English | |
| Required Degree | 4 Year Bachelor’s Degree | |
Choosing an MBA in Business Analytics at Sejong University, South Korea, offers a unique blend of advanced data-driven business education and global exposure. The program emphasizes practical skills in big data, AI, and predictive analytics, preparing graduates for high-demand roles in finance, marketing, and operations. Sejong University’s experienced faculty, modern facilities, and strong industry connections provide hands-on learning and networking opportunities. Located in Seoul, students gain access to South Korea’s dynamic business environment and technological innovation. With a focus on analytical decision-making and strategic management, this MBA equips professionals to lead in today’s data-centric global economy.
Category |
Details |
|---|---|
|
Program Name |
MBA in Business Analytics |
|
Degree Awarded |
Master of Business Administration (MBA) |
|
Course Duration |
2 years (full-time) |
|
Language of Instruction |
English |
|
Yearly Tuition Fees |
Approx. KRW 10,000,000–12,000,000 (~USD 7,500–9,000) |
|
Total Tuition Fees |
Approx. KRW 20,000,000–24,000,000 (~USD 15,000–18,000) |
|
Total Program Cost |
Including tuition, living, and other fees: ~KRW 30,000,000 (~USD 22,500) |
|
Eligibility |
Bachelor’s degree from a recognized university, preferably with work experience |
|
Admission Requirements |
GMAT/GRE (optional in some cases), English proficiency (TOEFL/IELTS), transcripts, recommendation letters, personal statement |
|
Application Intake |
Spring (March) & Fall (September) |
|
Scholarship |
Merit-based scholarships, need-based assistance, sometimes international student scholarships |
|
Career Prospects |
Data Analyst, Business Analyst, Analytics Consultant, Marketing Analyst, Operations Manager |
|
Curriculum Structure |
Core MBA courses, Business Analytics specialization courses, Capstone Project, Electives in Big Data, AI, Machine Learning, Finance & Marketing Analytics |
